code: def forward(self, input):
      output = self.linear_1(input)
      output = self.linear_2(output)
      output = self.linear_3(output)
      output = self.linear_4(output)
      output = self.linear_5(output)
      return self.linear_6(output)
  
file_path: PARL/benchmark/torch/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track1/powernet_model.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the CombinedActionModel obj's underlying member method code with example usage: obj.forward(input) and returns: self